Lipshtat Azi, Perets Hagai B, Balaban Nathalie Q, Biham Ofer
Racah Institute of Physics, The Hebrew University, Jerusalem 91904, Israel.
Gene. 2005 Mar 14;347(2):265-71. doi: 10.1016/j.gene.2004.12.016. Epub 2005 Feb 8.
We discuss recent developments in the modeling of negative autoregulated genetic networks. In particular, we consider the temporal evolution of the population of mRNA and proteins in simple networks using rate equations. In the limit of low copy numbers, fluctuation effects become significant and more adequate modeling is then achieved using the master equation formalism. The analogy between regulatory gene networks and chemical reaction networks on dust grains in the interstellar medium is discussed. The analysis and simulation of complex reaction networks are also considered.
我们讨论了负自调控基因网络建模的最新进展。特别地，我们使用速率方程来考虑简单网络中mRNA和蛋白质群体的时间演化。在低拷贝数的极限情况下，涨落效应变得显著，此时使用主方程形式能实现更合适的建模。我们还讨论了调控基因网络与星际介质中尘埃颗粒上的化学反应网络之间的类比。同时也考虑了复杂反应网络的分析与模拟。
